key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe. Assessing appropriateness of the market risk model outputs by performing timeseries review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of … validation to review, in accordance with Firm’s Model Risk Management policies and framework. Qualifications Strong background in market risk models and methodologies (e.g. timeseriesanalysis, VaR methodologies and backtesting), with 5 - 8 years of previous experience in a quantitative role at a financial institution. Solid … products. Strong programing skills and data handling skills in SQL and Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well more »
within finance? My client is seeking a talented Junior Data Scientist to become an integral part of their experienced team. This is a full-time position offering the opportunity to engage in exciting projects and collaborate with seasoned professionals in a hybrid work setup. Responsibilities : Utilise Python, NLP, LLM … s, and TimeSeries models under the guidance of senior team members to derive insights from financial data. Assist in the development of machine learning models to predict financial trends and aid in decision-making processes. Work closely with cross-functional teams to understand business requirements and contribute … data quality assessments. Requirements : Bachelor's degree in a relevant field. Basic understanding of Python programming and machine learning concepts. Familiarity with NLP and TimeSeriesanalysis is a plus. Strong analytical and problem-solving skills. Good communication abilities to effectively communicate technical concepts to non-technical more »
years' commercial experience as a Data Scientist Strong Python proficiency as well as its related libraries Strong foundation in statistical modelling, natural language processing, time-seriesanalysis, spatial analysis, and mathematical modelling methodologies Experience working on cloud-based infrastructure (e.g. AWS, Azure, GCP). Experience with more »
skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, timeseriesanalysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or more »
year-old retail chain? Because we’re on a journey. Changing the way we operate. Learning to think nimble. Giving our teams the time and freedom they need to push boundaries. To create amazing systems and technologies. To give our colleagues and our customers even more incredible experiences.There are … meet production standards and are available across the businessSeeking ways to automate activity within the Campaign and Loyalty analytics teams to allow teams more time on value-add activity.Developing new and improve existing models of customer behaviour, be those churn models or value assessments of customer bases or more … how code should be written - and an ability to install this in the wider team.Excellent analytical skills and statistical understanding including predictive modelling, clustering, timeseriesanalysis and experience of applying these for decision makingHigh level understanding of data architecture/governanceExperience of managing stakeholders at various more »
analyse complex data sets in areas like power grids, traffic, demographics, and EV adoption. You will work with a small team to conduct data analysis, optimise algorithms, publish white papers and mentor team members. Experience : Strong experience with cloud data and ML services. Proficiency in deep-learning frameworks (TensorFlow … etc.) & basic libraries for data science e.g. NumPy, Pandas, Scikit-Learn Strong command of standard data science techniques - supervised/unsupervised ML, Bayesian inference, time-seriesanalysis etc. Master's or PhD in relevant fields. Working at an early stage tech startup is a bonus Experience working more »
financial infrastructure. This offers the chance to work on greenfield projects, utilising state-of-the-art technologies. Your responsibilities will encompass employing statistical methods, timeseriesanalysis, and other quantitative techniques to gain valuable insights into market behaviour. There are x3 hires on offer with total compensation more »
fundamentals, and geopolitical factors, to enhance model performance and profitability. Optimize models for execution efficiency, liquidity management, and risk control. Conduct backtesting and simulation analysis to assess model performance under various market conditions and refine model parameters. Requirements: Advanced degree (Ph.D. or Master’s) in quantitative finance, mathematics, statistics … in in either Python or C++ Solid understanding of financial markets, trading strategies, and risk management principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and timeseries analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving more »
scalability, efficiency, and robustness. Create enduring solutions for real world problems via professional implementations leveraging your quant know-how and strong technical skillset. Data Analysis and Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. … related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and timeseries analysis. Specialized Knowledge : A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for more »
Science or Machine Learning based role.Expertise in machine learning, statistical modeling, and sophisticated analytics techniques, with experience in areas such as regression, classification, clustering, timeseries analysis.Relevant work experience with natural language processing projects and hands-on experience with techniques like POS tagging, NER, word2vec, document classification, sentiment … analysis etc.Proficiency in Python & SQL.Strong business acumen and the ability to translate business objectives into data science initiatives and actionable insights.Effective communication and stakeholder management skills, with the ability to convey technical concepts to both technical and non-technical audiences.Bachelors degree in a quantitative field like engineering, mathematics, statistics … completion of this process – or need any reasonable adjustments to be made – then please contact the Recruitment Team on recruitment.support.uk@aexp.comJob Field: MISSchedule: Full-timemore »
communicate complex technical matters or processes in a management-oriented manner. • Ideally, you have already gained experience in one of the following areas: data analysis, machine learning, mathematical optimization, statistical/stochastic modelling, timeseries analysis. • Programming skills in one or more of the following programming/ more »
scalability, efficiency, and robustness. Create enduring solutions for real world problems via professional implementations leveraging your quant know-how and strong technical skillset. Data Analysis and Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. … related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and timeseries analysis. Specialized Knowledge : A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for more »
scalability, efficiency, and robustness. Create enduring solutions for real world problems via professional implementations leveraging your quant know-how and strong technical skillset. Data Analysis and Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. … related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and timeseries analysis. Specialized Knowledge : A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for more »
communicate complex technical matters or processes in a management-oriented manner. • Ideally, you have already gained experience in one of the following areas: data analysis, machine learning, mathematical optimization, statistical/stochastic modelling, timeseries analysis. • Programming skills in one or more of the following programming/ more »
communicate complex technical matters or processes in a management-oriented manner. • Ideally, you have already gained experience in one of the following areas: data analysis, machine learning, mathematical optimization, statistical/stochastic modelling, timeseries analysis. • Programming skills in one or more of the following programming/ more »
scalability, efficiency, and robustness. Create enduring solutions for real world problems via professional implementations leveraging your quant know-how and strong technical skillset. Data Analysis and Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. … related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and timeseries analysis. Specialized Knowledge : A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for more »
scalability, efficiency, and robustness. Create enduring solutions for real world problems via professional implementations leveraging your quant know-how and strong technical skillset. Data Analysis and Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. … related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and timeseries analysis. Specialized Knowledge : A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for more »
scalability, efficiency, and robustness. Create enduring solutions for real world problems via professional implementations leveraging your quant know-how and strong technical skillset. Data Analysis and Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. … related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and timeseries analysis. Specialized Knowledge : A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for more »
scalability, efficiency, and robustness. Create enduring solutions for real world problems via professional implementations leveraging your quant know-how and strong technical skillset. Data Analysis and Insights : Utilize your analytical prowess to perform deep dives into complex problems extracting insights that inform risk management strategies and decision-making processes. … related quantitative field. Technical Expertise : Exceptional proficiency in Python and familiarity with advanced quantitative and statistical techniques, including stochastic calculus, Monte Carlo simulations, and timeseries analysis. Specialized Knowledge : A strong grasp of financial mathematics, energy markets, and trading principles is highly desirable. Innovative Mindset : A passion for more »
of Sysco Resources Services, LLC Zip Code: 77077 Minimum Level of Education: Master's Degree Minimum Years of Experience: 4 Years Employment Type: Full Time Travel Percentage: COMPENSATION INFORMATION: The pay range provided is not indicative of Sysco's actual pay range but is merely algorithmic and provided for … experience with scientific scripting languages (e.g., Python) and/or object-oriented programming (e.g., C++, Java) 4+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or timeseries analysis required Basic Qualifications: Must be able to think conceptually, strategically, and creatively with … execute something that was developed or directed by someone else) Must have experience initiating, driving and delivering complex analytical projects Able to perform quantitative analysis using appropriate analytical and visualization tools such as Python, Tableau and open source libraries Strong software design and OOP fundamentals (must be functional in more »
